公开(公告)号：US12062251B2

公开(公告)日：2024-08-13

申请号：US18312997

申请日：2023-05-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： SungUn Park ,  Jihye Kim ,  Jaejoon Han ,  Minsu Ko ,  Seungju Han ,  Jinwoo Son ,  Changyong Son

IPC: G06F21/00 ,  G06F16/583 ,  G06F18/22 ,  G06F21/32 ,  G06T7/73 ,  G06V40/16 ,  G06V40/40 ,  H04N23/90 ,  G06V10/75

CPC classification number: G06V40/172 ,  G06F16/5838 ,  G06F18/22 ,  G06F21/32 ,  G06T7/74 ,  G06V40/45 ,  H04N23/90 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/20024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V10/759 ,  G06V40/165 ,  G06V40/171

Abstract: An image matching method includes extracting, from a first image of an object, a landmark patch including a landmark point of the object, extracting, from a second image of the object, a target patch corresponding to the landmark patch; and determining a target point in the second image corresponding to the landmark point based on a matching between the landmark patch and the target patch.

公开(公告)号：US12056183B2

公开(公告)日：2024-08-06

申请号：US18347503

申请日：2023-07-05

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Mayank Gupta ,  Xia Yang ,  Yuanyuan Chen ,  Zixiao (Shawn) Wang ,  Qiang (Kevin) Fu ,  Yunchao Gong ,  Naresh Nagabushan

IPC: G06K9/00 ,  G06F16/532 ,  G06F16/538 ,  G06F16/583 ,  G06V10/26 ,  G06V10/56 ,  G06V10/82

CPC classification number: G06F16/5838 ,  G06F16/532 ,  G06F16/538 ,  G06V10/26 ,  G06V10/56 ,  G06V10/82

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

公开(公告)号：US20240212311A1

公开(公告)日：2024-06-27

申请号：US17915857

申请日：2021-10-08

Applicant: Rakuten Group, Inc.

Inventor： Hasan ARSLAN ,  Josue CUEVAS JUAREZ ,  Rajasekhar SANAGAVARAPU

IPC: G06V10/56 ,  G06F16/56 ,  G06F16/583 ,  G06T7/90 ,  G06V10/764 ,  G06V10/77 ,  G06V10/82

CPC classification number: G06V10/56 ,  G06F16/56 ,  G06F16/5838 ,  G06T7/90 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/82 ,  G06T2207/10024 ,  G06T2207/20052 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: An information processing apparatus (1) includes: an acquisition unit (101) configured to acquire an object image that contains one or more objects; a first inference unit (105) configured to infer one or more rectangular areas that respectively surround the one or more objects in the object image, and a type of each of the one or more objects, by applying the object image to a first learning model; a second inference unit (105) configured to infer an area of a target object in the object image by applying the one or more rectangular areas and the type of each of the one or more rectangular areas to a second learning model; and an extraction unit (105) configured to perform color determination on each pixel in the area of the target object and extract colors of the target object.

公开(公告)号：US12020414B2

公开(公告)日：2024-06-25

申请号：US17819845

申请日：2022-08-15

Applicant: Adobe Inc.

Inventor： Scott Cohen ,  Zhe Lin ,  Mingyang Ling

IPC: G06T7/00 ,  G06F16/583 ,  G06F40/205 ,  G06T7/70 ,  G06T7/90 ,  G06T11/60

CPC classification number: G06T7/0002 ,  G06F16/5838 ,  G06F16/5854 ,  G06F40/205 ,  G06T7/70 ,  G06T7/90 ,  G06T11/60 ,  G06T2207/20084 ,  G06T2210/12

Abstract: The present disclosure relates to an object selection system that accurately detects and automatically selects target instances of user-requested objects (e.g., a query object instance) in a digital image. In one or more embodiments, the object selection system can analyze one or more user inputs to determine an optimal object attribute detection model from multiple specialized and generalized object attribute models. Additionally, the object selection system can utilize the selected object attribute model to detect and select one or more target instances of a query object in an image, where the image includes multiple instances of the query object.

公开(公告)号：US20240177448A1

公开(公告)日：2024-05-30

申请号：US18540541

申请日：2023-12-14

Applicant: Vade USA Inc.

Inventor： Mehdi REGINA ,  Maxime Marc MEYER ,  Sébastien GOUTAL

IPC: G06V10/56 ,  G06F16/58 ,  G06F16/583 ,  G06V10/50 ,  G06V10/54

CPC classification number: G06V10/56 ,  G06F16/5838 ,  G06F16/5854 ,  G06F16/5862 ,  G06F16/5866 ,  G06V10/50 ,  G06V10/54

Abstract: A computer-implemented method of generating metadata from an image may comprise sending the image to an object detection service, which generates detections metadata from the image. The image may also be sent to a visual features extractor, which extracts visual features metadata from the image. The generated detections metadata may then be sent to an uncertainty score calculator, which computes an uncertainty score from the detections metadata. The uncertainty score may be related to a level of uncertainty within the detections metadata. The image, the visual features metadata, the detections metadata and the uncertainty score may then be stored in a database accessible over a computer network.

公开(公告)号：US11974038B2

公开(公告)日：2024-04-30

申请号：US17136536

申请日：2020-12-29

Applicant: SONY CORPORATION

Inventor： Toshiki Saito

IPC: H04N23/63 ,  G06F16/583 ,  G06Q50/00 ,  G06V20/30 ,  H04N1/00 ,  H04N1/21 ,  H04N23/661

CPC classification number: H04N23/633 ,  G06F16/5838 ,  G06Q50/01 ,  G06V20/30 ,  H04N1/00352 ,  H04N1/00442 ,  H04N1/215 ,  H04N23/661 ,  H04N2201/0084

Abstract: An information processing system that acquires a first captured image; acquires a plurality of second images; and generates display data including the first captured image and at least a subset of the plurality of second images based on an evaluation parameter corresponding to each of the plurality of second images.

公开(公告)号：US11971925B2

公开(公告)日：2024-04-30

申请号：US18094245

申请日：2023-01-06

Applicant: GOOGLE LLC

Inventor： Robert Rose ,  Qun Cao

IPC: G06F16/583 ,  G06F16/14 ,  G06N20/00

CPC classification number: G06F16/5838 ,  G06F16/144 ,  G06N20/00

Abstract: Implementations are described herein for leveraging digital media files retrieved and/or created by users to predict/determine topics of potential relevance to the users. In various implementations, digital media file(s) created and/or retrieved by a user with a client device may be applied as input across trained machine learning model(s), which in some cases are local to the client device, to generate output that indicates object(s) detected in the digital media file(s). Data indicative of the indicated object(s) may be provided to a remote computing system without providing the digital media file(s) themselves. In some implementations, information associated with the indicated object(s) may be retrieved and proactively output to the user. In some implementations, a frequency at which objects occur across a corpus of digital media files may be considered when determining a likelihood that a detected object is potentially relevant to a user.

公开(公告)号：US11967128B2

公开(公告)日：2024-04-23

申请号：US17333583

申请日：2021-05-28

Applicant: ADOBE INC.

Inventor： Qiuyu Chen ,  Quan Hung Tran ,  Kushal Kafle ,  Trung Huu Bui ,  Franck Dernoncourt ,  Walter Chang

IPC: G06V10/56 ,  G06F16/51 ,  G06F16/532 ,  G06F16/56 ,  G06F16/583 ,  G06V10/25 ,  G06V10/774 ,  G06V10/82

CPC classification number: G06V10/56 ,  G06F16/51 ,  G06F16/532 ,  G06F16/56 ,  G06F16/5838 ,  G06V10/25 ,  G06V10/774 ,  G06V10/82 ,  G06T2207/20081

Abstract: The present disclosure describes a model for large scale color prediction of objects identified in images. Embodiments of the present disclosure include an object detection network, an attention network, and a color classification network. The object detection network generates object features for an object in an image and may include a convolutional neural network (CNN), region proposal network, or a ResNet. The attention network generates an attention vector for the object based on the object features, wherein the attention network takes a query vector based on the object features, and a plurality of key vector and a plurality of value vectors corresponding to a plurality of colors as input. The color classification network generates a color attribute vector based on the attention vector, wherein the color attribute vector indicates a probability of the object including each of the plurality of colors.

公开(公告)号：US11935165B2

公开(公告)日：2024-03-19

申请号：US16995226

申请日：2020-08-17

Applicant: Shutterfly, LLC

Inventor： Abhishek Kirankumar Sabbarwal ,  David Le ,  Ira Blas ,  Ryan Lee

IPC: G06T11/60 ,  G06F3/04842 ,  G06F3/12 ,  G06F16/50 ,  G06F16/51 ,  G06F16/583 ,  G06F40/284 ,  G10L15/22 ,  G10L15/26 ,  H04N1/00 ,  H04N1/32 ,  H04N101/00

CPC classification number: G06T11/60 ,  G06F3/04842 ,  G06F3/1204 ,  G06F3/1208 ,  G06F3/1256 ,  G06F3/1287 ,  G06F16/50 ,  G06F16/51 ,  G06F16/5838 ,  G06F16/5854 ,  G06F40/284 ,  G10L15/22 ,  G10L15/26 ,  H04N1/00132 ,  H04N1/00161 ,  H04N1/00167 ,  H04N1/00196 ,  H04N1/00442 ,  H04N1/00453 ,  H04N1/00456 ,  H04N1/00458 ,  H04N1/00461 ,  H04N1/00464 ,  H04N1/32512 ,  H04N1/32571 ,  H04N1/32577 ,  H04N1/32582 ,  H04N1/32587 ,  H04N2101/00

Abstract: A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.

公开(公告)号：US11928150B1

公开(公告)日：2024-03-12

申请号：US17698869

申请日：2022-03-18

Applicant: Amazon Technologies, Inc.

Inventor： Justin-Josef Angel ,  Milena Sadee ,  Cressida Magdalen Harding ,  Eric Alan Breitbard ,  Animesh Mishra ,  Vlastimil Pis ,  Robert Steven Murdock

IPC: G06V10/94 ,  G06F16/432 ,  G06F16/583 ,  G06V10/40 ,  G06V10/75

CPC classification number: G06F16/5838 ,  G06F16/434 ,  G06F16/5854 ,  G06V10/40 ,  G06V10/751 ,  G06V10/95

Abstract: Systems and methods for image-based item identification are disclosed. Image data corresponding to one or more images depicting an item may be sent to one or more remote systems for image-based item identification. The identification indications and/or identification confidence scores received from the remote systems may be aggregated and weighted based at least in part on one or more factors related to the remote systems, the results, domains, image capture timing, image capture angles, and/or events to more accurately identify an item depicted in the images.